## What is/are Feedback Adaptive?

Feedback Adaptive - For a class of Multi-machine excitation system with transmission delays, an output feedback adaptive quantized control protocol based on k-filter observer has been proposed.^{[1]}This article investigates the output feedback adaptive fuzzy event-triggered fault-tolerant control issue of nonlinear switched large-scale systems.

^{[2]}It also linearizes the PA by decreasing the feedback adaptively at high powers which improves amplitude distortion (AM-AM) and power-added efficiency (PAE) as well as the saturation power (PSat).

^{[3]}This paper is concerned with the problem of output feedback adaptive tracking control for a class of uncertain nonlinear time-delay systems (NTDS) with both uncertain output function and unknown control directions.

^{[4]}To address its operational control problem, this paper describes two layers nonlinear dynamic characteristics and disturbances as the previous sample unmodeled dynamics and its change rate and proposes a compensation signal based dual-rate operational feedback adaptive decoupling control approach.

^{[5]}Finally, the waypoint tracking guidance controller method based on output feedback adaptive robust theory is studied to complete the design of the underlying nonlinear control law The tracking guidance command is executed well.

^{[6]}To this end, the output feedback adaptive dynamic programming (OPFB ADP) method is selected to realize the optimized impedance adaptation.

^{[7]}This article presents an event-triggered output-feedback adaptive optimal control method for continuous-time linear systems.

^{[8]}A new output-feedback adaptive NN PETC strategy is developed to reduce the usage of communication resources; it includes a controller that only uses event-sampling information and an event-triggering mechanism (ETM) that is only intermittently monitored at sampling instants.

^{[9]}Then, to compensate for the influence of intermittent actuator faults, a novel distributed output-feedback adaptive FTC is then designed by co-designing the last virtual controller, and the problem of ``algebraic-loop'' can be solved.

^{[10]}This paper studies a high-accuracy motion control method named output feedback adaptive robust control for a dc motor with uncertain nonlinearities and parametric uncertainties, which always exist in physical servo systems and deteriorate their tracking performance.

^{[11]}On this basis, a output feedback adaptive control strategy is developed to achieve the desired performance under the multiple constraints, an integral Lyapunov candidate function is used to deal with input dead zone and output saturation.

^{[12]}Based on the adaptive random access model, this paper proposes a feedback adaptive random access strategy, which can ensure that the throughput rate does not decrease under heavy load, while reducing the average access delay of the existing system.

^{[13]}In this paper, a RBFNNs based output feedback adaptive dynamic surface sliding mode control (DSSMC) method is proposed for a class of uncertain nonlinear system with actuator hysteresis.

^{[14]}It is proved and demonstrated via simulation that the output-feedback adaptive controller designed accelerates the tuning of controller parameters.

^{[15]}Based on these designs, an output-feedback adaptive formation scheme is proposed, where neural networks are utilized for identifying lumped nonlinear terms composed of uncertain hydrodynamics and external disturbances, and auxiliary variables and their additional control terms are presented to handle input saturation and underactuated problems simultaneously.

^{[16]}By incorporating a logic-based switching mechanism into high-gain linear controllers, global output-feedback adaptive stabilization is achieved for a class of nonlinear systems with unknown input–output-dependent lower-triangular growth rate and uncertain control coefficient.

^{[17]}Then, a discrete time state feedback adaptive algorithm is developed to regulate the output voltage of an uncertain converter without exact knowledge of the converter output load, input voltage and converter parameters.

^{[18]}In this work, the focus is put on the issue of controlling a single-phase single stage Boost Inverter by an output feedback adaptive control.

^{[19]}Based on the idea of state feedback control, a Neural State Feedback Adaptive Robust (NSFAR) control is constructed by using Radial Basis Function Neural Network.

^{[20]}The paper focuses on designing an output-feedback adaptive controller which maintains the comfort and safety of the vehicle body.

^{[21]}This paper investigates the output-feedback adaptive control problem, exploiting the so-called congelation of variables method, to achieve output regulation for systems with time-varying parameters.

^{[22]}The first protocol assumes measurable leaders' input signals for a subset of the followers, and employs distributed observers with state-feedback adaptive controllers to achieve exact containment control performance.

^{[23]}This paper presents an extended state observer-based output feedback adaptive controller with a continuous LuGre friction compensation for a hydraulic servo control system.

^{[24]}This brief proposes a novel solution to problems related to the measurement feedback adaptive optimal output regulation of discrete-time linear systems with input time-delay.

^{[25]}The numerical simulation results for the proposed adaptive controlled structure compared with the results obtained for the uncontrolled structure have shown the effectiveness, stability and robustness of the semi-active feedback adaptive control design.

^{[26]}Combining backstepping technique with neural network approximation, a state feedback adaptive controller is given.

^{[27]}

## Output Feedback Adaptive

For a class of Multi-machine excitation system with transmission delays, an output feedback adaptive quantized control protocol based on k-filter observer has been proposed.^{[1]}This article investigates the output feedback adaptive fuzzy event-triggered fault-tolerant control issue of nonlinear switched large-scale systems.

^{[2]}This paper is concerned with the problem of output feedback adaptive tracking control for a class of uncertain nonlinear time-delay systems (NTDS) with both uncertain output function and unknown control directions.

^{[3]}Finally, the waypoint tracking guidance controller method based on output feedback adaptive robust theory is studied to complete the design of the underlying nonlinear control law The tracking guidance command is executed well.

^{[4]}To this end, the output feedback adaptive dynamic programming (OPFB ADP) method is selected to realize the optimized impedance adaptation.

^{[5]}This paper studies a high-accuracy motion control method named output feedback adaptive robust control for a dc motor with uncertain nonlinearities and parametric uncertainties, which always exist in physical servo systems and deteriorate their tracking performance.

^{[6]}On this basis, a output feedback adaptive control strategy is developed to achieve the desired performance under the multiple constraints, an integral Lyapunov candidate function is used to deal with input dead zone and output saturation.

^{[7]}In this paper, a RBFNNs based output feedback adaptive dynamic surface sliding mode control (DSSMC) method is proposed for a class of uncertain nonlinear system with actuator hysteresis.

^{[8]}In this work, the focus is put on the issue of controlling a single-phase single stage Boost Inverter by an output feedback adaptive control.

^{[9]}This paper presents an extended state observer-based output feedback adaptive controller with a continuous LuGre friction compensation for a hydraulic servo control system.

^{[10]}

## State Feedback Adaptive

Then, a discrete time state feedback adaptive algorithm is developed to regulate the output voltage of an uncertain converter without exact knowledge of the converter output load, input voltage and converter parameters.^{[1]}Based on the idea of state feedback control, a Neural State Feedback Adaptive Robust (NSFAR) control is constructed by using Radial Basis Function Neural Network.

^{[2]}Combining backstepping technique with neural network approximation, a state feedback adaptive controller is given.

^{[3]}

## feedback adaptive controller

It is proved and demonstrated via simulation that the output-feedback adaptive controller designed accelerates the tuning of controller parameters.^{[1]}The paper focuses on designing an output-feedback adaptive controller which maintains the comfort and safety of the vehicle body.

^{[2]}The first protocol assumes measurable leaders' input signals for a subset of the followers, and employs distributed observers with state-feedback adaptive controllers to achieve exact containment control performance.

^{[3]}This paper presents an extended state observer-based output feedback adaptive controller with a continuous LuGre friction compensation for a hydraulic servo control system.

^{[4]}Combining backstepping technique with neural network approximation, a state feedback adaptive controller is given.

^{[5]}

## feedback adaptive control

On this basis, a output feedback adaptive control strategy is developed to achieve the desired performance under the multiple constraints, an integral Lyapunov candidate function is used to deal with input dead zone and output saturation.^{[1]}In this work, the focus is put on the issue of controlling a single-phase single stage Boost Inverter by an output feedback adaptive control.

^{[2]}This paper investigates the output-feedback adaptive control problem, exploiting the so-called congelation of variables method, to achieve output regulation for systems with time-varying parameters.

^{[3]}The numerical simulation results for the proposed adaptive controlled structure compared with the results obtained for the uncontrolled structure have shown the effectiveness, stability and robustness of the semi-active feedback adaptive control design.

^{[4]}

## feedback adaptive robust

Finally, the waypoint tracking guidance controller method based on output feedback adaptive robust theory is studied to complete the design of the underlying nonlinear control law The tracking guidance command is executed well.^{[1]}This paper studies a high-accuracy motion control method named output feedback adaptive robust control for a dc motor with uncertain nonlinearities and parametric uncertainties, which always exist in physical servo systems and deteriorate their tracking performance.

^{[2]}Based on the idea of state feedback control, a Neural State Feedback Adaptive Robust (NSFAR) control is constructed by using Radial Basis Function Neural Network.

^{[3]}

## feedback adaptive optimal

This article presents an event-triggered output-feedback adaptive optimal control method for continuous-time linear systems.^{[1]}This brief proposes a novel solution to problems related to the measurement feedback adaptive optimal output regulation of discrete-time linear systems with input time-delay.

^{[2]}

## feedback adaptive dynamic

To this end, the output feedback adaptive dynamic programming (OPFB ADP) method is selected to realize the optimized impedance adaptation.^{[1]}In this paper, a RBFNNs based output feedback adaptive dynamic surface sliding mode control (DSSMC) method is proposed for a class of uncertain nonlinear system with actuator hysteresis.

^{[2]}